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Amazon Sr System Technical Program Manager Amazon Devices - Hardware 
United States, California, Sunnyvale 
261064281

16.06.2025
DESCRIPTION

Key job responsibilities
- Work with key stakeholders in product management and executive teams to define strategy and requirements
- Lead cross functional development and execution on new technologies from product definition, design through delivery- Communicate regularly with senior management on status, risks and change control

BASIC QUALIFICATIONS

- 5+ years of experience working directly with engineering teams
- 3-5 years system design experience in consumer electronics, in-depth understanding of HW system components such as EE, PD, Thermal, Display, Battery, Audio, Camera, and Reliability requirement
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Bachelor's degree with a technical discipline or equivalent experience
- 3+ years of relevant work experience in technical program/project management in a consumer electronics environment


PREFERRED QUALIFICATIONS

- Master's Electrical Engineering, Computer Engineering or Technical disciplines
- Creative leader with superior analytical abilities and ability to exert organizational influence
- Working knowledge of hardware and software development process and lifecycle management
- Proficient at creating and tracking complex development schedules
- Experience managing the introduction of new technologies
- Strong system architecture and design experience and understanding of technical requirements for technology integration
- Excellent leadership and communication skills
- Fluent communication in Chinese
- Expertise with program management tools (Project, Confluence, JIRA)
- Proven ability to successfully execute complex cross-functional programs End-to-End
- Experience defining projects, collecting requirements, writing detailed functional and test specifications, coordinating efforts to scope, schedule, and deploy new features sets
- Experience analyzing cost/benefit of feature selection